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Aijun YAN,Tianyou CHAI,Fenghua WU,Pu WANG.[en_title][J].Control Theory and Technology,2008,6(1):80~85.[Copy]
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AijunYAN,TianyouCHAI,FenghuaWU,PuWANG
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Received:January 03, 2007Revised:August 29, 2007
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Hybrid intelligent control of combustion process for ore-roasting furnace
Aijun YAN, Tianyou CHAI, Fenghua WU, Pu WANG
(College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China;Research Center of Automation, Northeastern University, Shenyang Liaoning 110004, China)
Abstract:
Because of its synthetic and complex characteristics, the combustion process of the shaft ore-roasting furnace is very difficult to control stably. A hybrid intelligent control approach is developed which consists of two systems:one is a cascade fuzzy control system with a temperature soft-sensor, and the other is a ratio control system for air flow with a compensation model for heating gas flow and air-fuel ratio. This approach combined intelligent control, soft-sensing and fault diagnosis with conventional control. It can adjust both the heating gas flow and the air-fuel ratio in real time. By this way, the difficulty of online measurement of the furnace temperature is solved, the fault ratios during combustion process is decreased, the steady control of the furnace temperature is achieved, and the gas consumption is reduced. The successful application in shaft furnaces of a mineral processing plant in China indicates its effectiveness.
Key words:  Furnace temperature  Intelligent control  Soft-sensing  Fault diagnosis  Shaft furnace